‘AIM4SafeBaby®’ (Artificial Intelligence monitoring for Safe baby birth)

MBRRACE-UK的报告强调了2020年2292例死产和RCOG(皇家妇产科医学院)的《S每个婴儿数》报告；2022年重申，仅在2018年，在1145名婴儿中，11%的婴儿在分娩过程中死亡，75%的婴儿患有严重的脑损伤，而14%的婴儿在出生后1个月死亡。世界活产出生率为每年701,277,931人，其中3%(21,038,337人/年)将进行复杂和延迟的剖腹产。CDC(疾病控制和预防中心)据报道，在美国，每年有5万名母亲受重伤，700人死亡。其中60%的死亡和一半的受伤如果得到适当的护理是可以避免的[生命体征报告(CDC)，2019年5月]。显然需要更好地监测劳工数据。医疗安全调查处(HSIB)建议卫生和社会保健部进行审查，以提高现有胎儿生长和胎心率评估工具的可靠性，将婴儿的风险降至最低。AIM4SafeBaby项目满足了这一需求，并将创建一个创新的临床决策支持系统，将劳工数据转换为基于知识的指南，从而更安全地分娩婴儿。这一创新的监测设备将监测分娩过程，并帮助临床医生、分娩妇女及其生育伙伴选择最安全的分娩选项，以及所有可用选项的益处与风险。这将有助于及时和准确的分娩管理，并将减少对母婴的分娩创伤。‘AIM4SafeBaby’解决方案为临床医生提供了改变游戏规则的解决方案。目前，没有一种技术或综合解决方案能够全面了解分娩过程，并强调为实现母婴安全顺利的分娩过程而作出明智决定的风险。现有的分娩监测设备，如EFM(电子胎儿监测)和CTG(心电监护)，提供的结果不能作为在正在进行的分娩期间实时做出决定的唯一来源。即使是训练有素的卫生专业人员，有时也很难准确可靠地解释电子监测仪的读数。非现场的资深产科医生可能会被要求提供帮助，但往往会失去对婴儿健康至关重要的时间。因此，使用我们基于人工智能的CTG监测和预测工具，可以最大限度地减少人为错误。[1\]参考：联合国，经济和社会事务部，人口司，2019年

The MBRRACE-UK report highlights 2292 stillbirths in 2020 and RCOG (Royal College of Obstetricians and Gynecologists)'s Each Baby Counts report; 2022 reiterates that, in 2018 alone, amongst 1145 babies, 11 % of babies died during labour, 75% of babies suffered from severe brain injury and whilst 14% died in 1st month of their life. The world's live birth rate is 701,277,931 per year \[1\] and 3% of these births (21,038,337 births/year) will have complicated and delayed caesarean sections. CDC (Centers for Disease Control and Prevention.) reports, in the USA, 50,000 mothers are severely injured & 700 die annually. 60% of these deaths and half the injuries could be avoided with proper care\[Vital Signs The report (CDC), May 2019\].There is clearly a need for better monitoring of the labour data. The Healthcare Safety Investigation Branch (HSIB) recommends that the Department of Health and Social Care commission a review to improve the reliability of existing assessment tools for fetal growth and fetal heart rate to minimise the risk for babies \[Safety recommendation R/2021/148\].The AIM4SafeBaby project addresses this need and will create an innovative clinical decision support system that converts labour data into knowledge-based guidelines for safer baby delivery. This innovative monitoring device will monitor the birth process and help clinicians, labouring women, and their birth partners choose the safest birth option and the benefits versus risks of all the available options. This will help timely and accurate management of the birth and will reduce the birth trauma to the mother and the baby.'AIM4SafeBaby' solution offers a game-changing solution to clinicians. Currently, there is no technology or integrated solution able to offer a complete picture of the labour process and highlight the risks for taking educated decisions towards a safe and smooth birth process for both mother and baby. Existing labour monitoring devices like EFM(Electronic Foetal Monitoring) and CTG(cardiotocography) offer findings that cannot be relied upon as the sole source to make decisions in real-time during ongoing labour. Even highly trained health professionals sometimes struggle to interpret electronic monitor readings accurately and reliably. An off-site senior obstetrician may be called upon to help, often losing critical time for the baby's health. Hence there is an enormous scope to minimise human errors with our AI-based CTG monitoring and prediction tool.\[1\]Ref: United Nations, Department of Economic and Social Affairs, Population Division, 2019